Azure Quotas
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When provisioning virtual machines (VMs) in Microsoft Azure—especially in the context of Parallels DaaS — it's important to understand Azure quotas, how they affect deployments, and how to manage them effectively in the Azure portal.
Azure enforces resource quotas to help manage capacity and prevent unexpected usage spikes. These quotas are essentially limits set per Azure subscription and region, and they control how many resources you can provision. The key types of quotas relevant to DaaS include:
vCPU quota (Total Regional vCPUs) The total number of virtual CPUs (vCPUs) you can allocate across all VM types in a specific region.
vCPU quota per VM family (e.g., Dv5, Ev5, NV)
Limits the number of vCPUs you can use per VM family. For example, you may be limited to 10 vCPUs in the Dv5 series until you request an increase.
Other quotas (e.g., Public IP addresses, Managed Disks) Less relevant for session-based desktops but important for networked or persistent infrastructure.
When Parallels DaaS attempts to provision new session hosts eather when onboarding or scaling up, Azure checks your current quotas. If you exceed the quota (for example, trying to provision 20 D4ds_v5 VMs when only 16 vCPUs are allowed in that family), the deployment will fail with a quota exceeded error.
This is especially important in automated scaling scenarios, where the DaaS platform will attempt to add machines based on user load.
Go to Azure Portal: Navigate to
Search for "Usage + quotas": This will open a blade where you can view current usage and limits per region and resource type.
Select a Subscription and Region: Choose the Azure subscription tied to your Parallels DaaS deployment and the region where your VMs are hosted.
Filter for Compute quotas: Look for entries like:
Total Regional vCPUs
Standard Dv5 Family vCPUs
Standard NV Family vCPUs
Request a quota increase:
Click the "Request Increase" button next to the relevant quota.
Specify the new limit you're requesting.
Provide justification (e.g., "Expanding Parallels DaaS workload for 200 users").
Microsoft typically processes small requests instantly and bigger ones within 1 business day.